I recently had a conversation with a peer who was genuinely worried that we’re all going to lose our jobs...
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Every year, companies make predictions about what will change in technology. Most are half right and half hype. But heading...
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Advanced AI and Machine Learning Applications in Healthcare: Unlocking New Possibilities Artificial Intelligence (AI) and Machine Learning (ML) are transforming...
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Just like in other industries, software developers face compliance requirements that they must adhere to. Organizations today need to prove...
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Technical debt (TD) is the cost of additional work that arises because of prioritizing the speed of delivery of a...
Continue ReadingI recently had a conversation with a peer who was genuinely worried that we’re all going to lose our jobs to AI. I get where the fear comes from. Every major shift in software has triggered the same concern. We heard it during the rise of the web, the move to cloud, and the spread […]
Every year, companies make predictions about what will change in technology. Most are half right and half hype. But heading into 2026 already feels different, and not just because of shiny new tools or bigger clouds. It feels different because the way teams build software is changing at a deeper level. Over the last year, […]
Advanced AI and Machine Learning Applications in Healthcare: Unlocking New Possibilities Artificial Intelligence (AI) and Machine Learning (ML) are transforming healthcare by improving patient care, streamlining operations, and enhancing diagnostic accuracy. As data availability grows and computational power advances, AI-driven tools are becoming increasingly practical for hospitals, clinics, and research organizations seeking measurable improvements in […]
Just like in other industries, software developers face compliance requirements that they must adhere to. Organizations today need to prove their security stature to customers, business partners, shareholders, government agencies, and other relevant stakeholders. Compliance regulations can be part of internal policy, industry best practices, or actual statutes. In the past compliance requirements were put […]
Technical debt (TD) is the cost of additional work that arises because of prioritizing the speed of delivery of a piece of functionality in a system or project over accuracy. In many cases, shipping speedily results in the functionality requiring to be refactored later. Tackling technical debt in an organization’s system architecture is important because problems […]
9 in every 10 businesses in America today use at least one automation tool to improve a process. Business leaders today appreciate the value that automation is capable of driving. However, achieving hyper-automation requires the deployment of dozens of bots to work together to improve efficiency throughout the businesses. Most businesses struggle with hyper-automation. In […]
According to the Open Alliance for Cloud Adoption, the Cloud Maturity Model (CMM) answers the question “What should the journey to cloud and hybrid IT look like”. The goal is to analyze the current state and come up with a plan for implanting cloud technologies. Organizations often mistake cloud adoption for a normal IT project […]
A multi-cloud strategy refers to the decision by a company to use two or more public cloud service providers, for instance, Amazon Web Services and Microsoft Azure. While many companies may be using different public cloud services simultaneously, this does not always happen as a strategy. For instance, the different departments within a company may […]
Test driven development is a fairly recent approach to software development that’s being adopted to reduce the cost of reworking code. TTD involves putting testing at the forefront of any software development project. Software developers determine what code should do and develop tests to ensure the same. Therefore, before any code is written, there are […]
According to recent research by Gartner, human error in a financial institution can cost up to 25000 hours in reworks. This translates to more than $850,000 which when extrapolated to the entire sector means billions of dollars every year. It is no surprise, therefore, that the financial sector is keen to adopt robotic process automation […]
